Yuze Liu

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025
Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs.
IEEE Trans. Artif. Intell., June, 2025

A Reconstruction Method for Weak Magnetic Pipeline Inspection Signals Based on Adaptive Multiscale Signal Reconstruction.
IEEE Trans. Instrum. Meas., 2025

GRL-Prompt: Towards Prompts Optimization via Graph-Empowered Reinforcement Learning Using LLMs' Feedback.
Proceedings of the Data Science: Foundations and Applications, 2025

Aspect Enhancement and Text Simplification in Multimodal Aspect-Based Sentiment Analysis for Multi-Aspect and Multi-Sentiment Scenarios.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
<i>DSHGT</i>: Dual-Supervisors Heterogeneous Graph Transformer - A Pioneer Study of Using Heterogeneous Graph Learning for Detecting Software Vulnerabilities.
ACM Trans. Softw. Eng. Methodol., November, 2024

An Adaptive Federated Relevance Framework for Spatial-Temporal Graph Learning.
IEEE Trans. Artif. Intell., May, 2024

SUDC: Synchronous Update with the Division and Combination of SRv6 Policy.
Future Internet, April, 2024

Multi-scale spatio-temporal feature adaptive aggregation for video-based Person Re-identification.
Knowl. Based Syst., 2024

GRL-Prompt: Towards Knowledge Graph based Prompt Optimization via Reinforcement Learning.
CoRR, 2024

Exploiting Spatial-Temporal Data for Sleep Stage Classification via Hypergraph Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Single underwater image enhancement based on the reconstruction from gradients.
Multim. Tools Appl., May, 2023

Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs.
CoRR, 2023

2022
Towards Relation-centered Pooling and Convolution for Heterogeneous Graph Learning Networks.
CoRR, 2022

FedRel: An Adaptive Federated Relevance Framework for Spatial Temporal Graph Learning.
CoRR, 2022

AstBERT: Enabling Language Model for Code Understanding with Abstract Syntax Tree.
CoRR, 2022

2021
Learning with Hilbert-Schmidt independence criterion: A review and new perspectives.
Knowl. Based Syst., 2021

GPS: A Policy-driven Sampling Approach for Graph Representation Learning.
CoRR, 2021

STFL: A Temporal-Spatial Federated Learning Framework for Graph Neural Networks.
CoRR, 2021

2016
OpenFlow-based adaptive adjustment of optical path resources in dynamic optical networks.
Opt. Switch. Netw., 2016


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